MoonshotAI Models
MoonshotAI logo

Kimi K2 0905

by MoonshotAI

Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It supports long-context inference up to 256k tokens, extended from the previous 128k. This update improves agentic coding with higher accuracy and better generalization across scaffolds, and enhances frontend coding with more aesthetic and functional outputs for web, 3D, and related tasks. Kimi K2 is optimized for agentic capabilities, including advanced tool use, reasoning, and code synthesis. It excels across coding (LiveCodeBench, SWE-bench), reasoning (ZebraLogic, GPQA), and tool-use (Tau2, AceBench) benchmarks. The model is trained with a novel stack incorporating the MuonClip optimizer for stable large-scale MoE training.

Chat with Kimi K2 0905
Input Price$0.99/1M tokens
Output Price$2.50/1M tokens
Intelligence30.8
Coding25.9

Specifications

Technical details and pricing.

ProviderMoonshotAI
Context Window131,072 tokens
Release DateSep 5, 2025
ModalitiesText

Benchmarks

10 benchmark scores from Artificial Analysis.

GPQA76.7%
MMLU Pro81.9%
HLE6.3%
LiveCodeBench61.0%
AIME 202557.3%
SciCode30.7%
LCR52.3%
IFBench41.7%
Tau273.4%
TerminalBench Hard23.5%

Composite Indices

Intelligence, Coding, Math

Standard Benchmarks

Academic and industry benchmarks

Frequently Asked Questions

What is Kimi K2 0905 good for?

Use Kimi K2 0905 for everyday tasks like writing, summarizing, brainstorming, and getting clear explanations.

How much does Kimi K2 0905 cost?

Pricing is based on usage. Current rates are $0.99/1M tokens for input and $2.50/1M tokens for output.

Can I try Kimi K2 0905 for free?

Yes. You can start a chat instantly and test the model before deciding on a plan.

Does Kimi K2 0905 support images or audio?

Kimi K2 0905 focuses on text-based tasks.

Benchmarks and pricing are sourced from Artificial Analysis where available. OpenRouter specs are used as a fallback.